• Staff AI Scientist - Fintech Consumer Fraud Risk

    Intuit (Mountain View, CA)
    …ownership of success and key results at the program-level, and driving the modeling strategy across all involved teams. + Design, build, deploy, evaluate, defend, ... + Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment. **What's great about… more
    Intuit (12/24/25)
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  • Associate Director of Consumer Strategy…

    Gilead Sciences, Inc. (Foster City, CA)
    …& Modeling :** + Develop advanced machine learning models and statistical algorithms to create highly-targeted audience segments. Focus on leveraging modeled ... meet brand objectives. This role requires a deep understanding of data modeling techniques and a strategic approach to audience segmentation, ensuring that campaigns… more
    Gilead Sciences, Inc. (11/25/25)
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  • Head of Silicon Package Reliability

    Google (Mountain View, CA)
    …with executive leadership. + Experience in applying design for reliability techniques ( Modeling , DFMEA) and reliability modeling techniques, such as Reliability ... and package generations in a reliability lead role. + Experience in modeling and reliability statistics for silicon, interconnects and packaging failure modes.… more
    Google (01/10/26)
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  • Senior Analyst, Product Analytics

    CVS Health (CA)
    …This role is responsible for developing reports, analytical tools, and statistical models that guide decision-making and highlight opportunities for improvement. ... to support strategic decision-making and continuous improvement. + Apply statistical techniques (eg, regression, hypothesis testing, clustering) to evaluate program… more
    CVS Health (01/17/26)
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  • Web Marketing Analytics & Experimentation Analyst

    US Tech Solutions (Sunnyvale, CA)
    …analytics and experimentation support to enable data-driven marketing by applying statistical techniques to solve business problems. + Bring consistency to online ... relevant experience working with large, complex datasets, experimental design and building statistical models, using SQL and one language for scripting or … more
    US Tech Solutions (01/16/26)
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  • Staff Scientist

    Stanford University (Stanford, CA)
    …the main areas of application - functional or single cell genomics and/or statistical genetics -- as well as strong experience in modern computational statistics and ... skills with an emphasis on algorithmic development for machine learning and/or statistical computing. Mentoring trainees on technical aspects of their project will… more
    Stanford University (11/06/25)
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  • Senior Data Scientist, Amazon Stores Finance…

    Amazon (Sunnyvale, CA)
    …senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores. ... combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data.… more
    Amazon (01/20/26)
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  • Staff Credit Risk AI Scientist - Fintech Consumer…

    Intuit (Mountain View, CA)
    …+ Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment. **What's great about ... and natural language processing. + Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and… more
    Intuit (01/20/26)
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  • Sr Credit Risk Analyst

    Columbia Bank (Irvine, CA)
    …and documenting, as needed, the quality of data used in the credit risk modeling process and partner with other business units and project teams to improve data ... understanding of credit risk concepts. + Possess working understanding of statistical methodology as applied to quantitative models. Experience with credit risk… more
    Columbia Bank (01/10/26)
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  • Principal Software Engineer - Circuit Simulation…

    Cadence Design Systems, Inc. (San Jose, CA)
    …innovative results in real-world settings. Core Expertise + Statistical inference: significance testing (p-values, confidence intervals), Bayesian statistics, ... (a plus): importance sampling, subset simulation, cross-entropy methods, extreme value/tail modeling , yield estimation. + Surrogate modeling and Uncertainty… more
    Cadence Design Systems, Inc. (01/08/26)
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